Role Overview
The Data Scientist (Economist) develops and applies statistical, econometric, machine learning, and analytical methods to transform data into insights and solutions that support business decisions.
What You Will Do
Develop and validate statistical models, machine learning algorithms, and analytical approaches using methods such as classification, clustering, association, regression, time-series analysis, simulation, and prototyping to address varied business problems and generate actionable insights.
Why It Might Be a Fit
You will partner with business, engineering, technology, and other cross-functional teams to translate external economy-wide events to internal context and practical solutions.
Requirements
- Bachelor’s Degree Statistics, Economics, Mathematics, Computer Science, or other quantitative field.
- 2+ years Applying statistical analysis, economic theory, data science, quantitative research, or related analytical methods to business or technical problems.
- Knowledge of statistical modeling and analytical methods, including regression, classification, clustering, time-series analysis, experimental design, hypothesis testing, model validation, and related quantitative techniques.
- Experience using data science programming languages such as Python, R, SPSS, or SAS and querying languages such as SQL to analyze structured and unstructured datasets and develop analytical solutions.
- Experience working with databases and analytical data environments such as Snowflake, Teradata, Oracle, or comparable platforms and applying data preparation, computational, and visualization techniques to analytical work.
- Experience translating complex analytical methods and findings into clear visualizations, presentations, documentation, and recommendations for technical and non-technical stakeholders.
- Familiarity with common sources for economic statistics, including government statistical agencies
- A self-starter mentality and interest in economic and marketplace dynamics
Benefits
- Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
- 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
- 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
- Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
- Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.
To apply for this job please visit jobs.grainger.com.

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